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• Six Best Amplitude Alternatives

  10 décembre 2024, par Daniel Crough

  Product analytics is big business. Gone are the days when we could only guess what customers were doing with our products or services. Now, we can track, visualise, and analyse how they interact with them and, with that, constantly improve and optimise. 

  The problem is that many product analytics tools are expensive and complicated — especially for smaller businesses. They’re also packed with functionality more attuned to the needs of massive companies. 

  Amplitude is such a tool. It’s brilliant and it has all the bells and whistles that you’ll probably never need. Fortunately, there are alternatives. In this guide, we’ll explore the best of those alternatives and, along the way, provide the insight you’ll need to select the best analytics tool for your organisation. 

  Amplitude : a brief overview

  To set the stage, it makes sense to understand exactly what Amplitude offers. It’s a real-time data analytics tool for tracking user actions and gaining insight into engagement, retention, and revenue drivers. It helps you analyse that data and find answers to questions about what happened, why it happened, and what to do next.

  However, as good as Amplitude is, it has some significant disadvantages. While it does offer data export functionality, that seems deliberately restricted. It allows data exports for specific events, but it’s not possible to export complete data sets to manipulate or format in another tool. Even pulling it into a CSV file has a 10,000-row limit. There is an API, but not many third-party integration options.

  Getting data in can also be a problem. Amplitude requires manual tags on events that must be tracked for analysis, which can leave holes in the data if every possible subsequent action isn’t tagged. That’s a time-consuming exercise, and it’s made worse because those tags will have to be updated every time the website or app is updated. 

  As good as it is, it can also be overwhelming because it’s stacked with features that can create confusion for novice or inexperienced analysts. It’s also expensive. There is a freemium plan that limits functionality and events. Still, when an organisation wants to upgrade for additional functionality or to analyse more events, the step up to the paid plan is massive.

  Lastly, Amplitude has made some strides towards being a web analytics option, but it lacks some basic functionality that may frustrate people who are trying to see the full picture from web to app.

  Snapshot of Amplitude alternatives

  So, in place of Amplitude, what product analytics tools are available that won’t break the bank and still provide the functionality needed to improve your product ? The good news is that there are literally hundreds of alternatives, and we’ve picked out six of the best.

  1. Matomo – Best privacy-focused web and mobile analytics
  2. Mixpanel – Best for product analytics
  3. Google Analytics – Best free option
  4. Adobe Analytics – Best for predictive analytics
  5. Umami – Best lightweight tool for product analytics
  6. Heap – Best for automatic user data capture

  A more detailed analysis of the Amplitude alternatives

  Now, let’s dive deeper into each of the six Amplitude alternatives. We’ll cover standout features, integrations, pricing, use cases and community critiques. By the end, you’ll know which analytics tool can help optimise website and app performance to grow your business.

  1. Matomo – Best privacy-friendly web and app analytics

  Privacy is a big concern these days, especially for organisations with a presence in the European Union (EU). Unlike other analytics tools, Matomo ensures you comply with privacy laws and regulations, like the General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act (CCPA).

  Matomo helps businesses get the insights they need without compromising user privacy. It’s also one of the few self-hosted tools, ensuring data never has to leave your site.

  Matomo is open-source, which is also rare in this class of tools. That means it’s available for anyone to adapt and customise as they wish. Everything you need to build custom APIs is there.

  

  Its most useful capabilities include visitor logs and session recordings to trace the entire customer journey, spot drop-off points, and fine-tune sales funnels. The platform also comes with heatmaps and A/B testing tools. Heatmaps provide a useful visual representation of your data, while A/B testing allows for more informed, data-driven decisions.

  Despite its range of features, many reviewers laud Matomo’s user interface for its simplicity and user-friendliness. 

  Why Matomo : Matomo is an excellent alternative because it fills in the gaps where Amplitude comes up short, like with cookieless tracking. Also, while Amplitude focuses mainly on behavioural analytics, Matomo offers both behavioural and traditional analytics, which allows more profound insight into your data. Furthermore, Matomo fully complies with the strictest privacy regulations worldwide, including GDPR, LGPD, and HIPAA.

  Standout features include multi-touch attribution, visits log, content engagement, ecommerce, customer segments, event tracking, goal tracking, custom dimensions, custom reports, automated email reports, tag manager, sessions recordings, roll-up reporting that can pull data from multiple websites or mobile apps, Google Analytics importer, Matomo tag manager, comprehensive visitor tracking, heatmaps, and more.

  Integrations with 100+ technologies, including Cloudflare, WordPress, Magento, Google Ads, Drupal, WooCommerce, Vue, SharePoint and Wix.

  Pricing is free for Matomo On-Premise and $23 per month for Matomo Cloud, which comes with a 21-day free trial (no credit card required).

  Strengths

  • Privacy focused
  • Cookieless consent banners
  • 100% accurate, unsampled data
  • Open-source code 
  • Complete data ownership (no sharing with third parties)
  • Self-hosting and cloud-based options
  • Built-in GDPR Manager
  • Custom alerts, white labelling, dashboards and reports

  Community critiques 

  • Premium features are expensive and proprietary
  • Learning curve for non-technical users

  2. Mixpanel – Best for product analytics

  Mixpanel is a dedicated product analytics tool. It tracks and analyses customer interactions with a product across different platforms and helps optimise digital products to improve the user experience. It works with real-time data and can provide answers from customer and revenue data in seconds.

  It also presents data visualisations to show how customers interact with products.

  

  Mixpanel allows you to play around filters and views to reveal and chart some useful customer trends. (Image source)

  Why Mixpanel : One of the strengths of this platform is the ability to test hypotheses. Need to test an ambitious idea ? Mixpanel data can do it with real user analytics. That allows you to make data-driven decisions to find the best path forward.

  Standout features include automatic funnel segment analysis, behavioural segmentation, cohort segmentation, collaboration support, customisable dashboards, data pipelines, filtered data views, SQL queries, warehouse connectors and a wide range of pre-built integrations.

  Integrations available include Appcues, AppsFlyer, AWS, Databox, Figma, Google Cloud, Hotjar, HubSpot, Intercom, Integromat, MailChimp, Microsoft Azure, Segment, Slack, Statsig, VWO, Userpilot, WebEngage, Zapier, ZOH) and dozens of others.

  Pricing starts with a freemium plan valid for up to 20 million events per month. The growth plan is affordable at $25 per month and adds features like no-code data transformations and data pipeline add-ons. The enterprise version runs at a monthly cost of $833 and provides the full suite of features and services and premium support.

  There’s a caveat. Those prices only allow up to 1,000 Monthly Tracked Users (MTUs), calculated based on the number of visitors that perform a qualifying event each month. Beyond that, MTU plans start at $20,000 per year.

  Strengths

  • User behaviour and interaction tracking
  • Unlimited cohort segmentation capabilities
  • Drop-off analysis showing where users get stuck
  • A/B testing capabilities

  Community critiques 

  • Expensive enterprise features
  • Extensive setup and configuration requirements

  3. Google Analytics 4 – Best free web analytics tool

  The first thing to know about Google Analytics 4 is that it’s a web analytics tool. In other words, it tracks sessions, not user behaviours in app environments. It can provide details on how people found your website and how they go there, but it doesn’t offer much detail on how people use your product. 

  There is also an enterprise version, Google Analytics 360, which is not free. We’ve broken down the differences between the two versions elsewhere.

  

  GA4’s audience overview shows visitors, sessions, session lengths, bounce rates, and user engagement data. (Image source)

   

  Why Google Analytics : It’s great for gauging the effectiveness of marketing campaigns, tracking goal completions (purchases, cart additions, etc.) and spotting trends and patterns in user engagement.

  Standout features include built-in automation, customisable conversion goals, data drill-down functionality, detailed web acquisition metrics, media spend ROI calculations and out-of-the-box web analytics reporting.

  Integrations include all major CRM platforms, CallRail, DoubleClick DCM, Facebook, Hootsuite, Marketo, Shopify, VWO, WordPress, Zapier and Zendesk, among many others.

  Pricing is free for the basic version (Google Analytics 4) and scales based on features and data volume. The advanced features (in Google Analytics 360) are pitched at enterprises, and pricing is custom.

  Strengths

  • Free to start
  • Multiple website management
  • Traffic source details
  • Up-to-date traffic data

  Community critiques 

  • Steep learning curve 
  • Data sampling

  4. Adobe Analytics – Best for predictive analytics

  A fully configured Adobe Analytics implementation is the Swiss army knife of analytics tools. It begins with web analytics, adds product analytics, and then wraps it up nicely with predictive analytics.

  Unlike all the Amplitude alternatives here, there’s no free version. Adobe Analytics has a complicated pricing matrix with options like website analytics, marketing analytics, attribution, and predictive analytics. It also has a wide range of customisation options that will appeal to large businesses. But for smaller organisations, it may all be a bit too much.

  Mixpanel allows you to play around filters and views to reveal and chart some useful customer trends. (Image source)

  

  Adobe Analytics’ cross-channel attribution ties actions from different channels into a single customer journey. (Image source)

   

  Why Adobe Analytics : For current Adobe customers, this is a logical next step. Either way, Adobe Analytics can combine, evaluate, and analyse data from any part of the customer journey. It analyses that data with predictive intelligence to provide insights to enhance customer experiences.

   

  Standout features include AI-powered prediction analysis, attribution analysis, multi-channel data collection, segmentation and detailed customer journey analytics, product analytics and web analytics.

   

  Integrations are available through the Adobe Experience Cloud Exchange. Adobe Analytics also supports data exchange with brands such as BrightEdge, Branch.io, Google Ads, Hootsuite, Invoca, Salesforce and over 200 other integrations.

   

  Pricing starts at $500 monthly, but prospective customers are encouraged to contact the company for a needs-based quotation.

   

  Strengths

  • Drag-and-drop interface
  • Flexible segmentation 
  • Easy-to-create conversion funnels
  • Threshold-based alerts and notifications

  Community critiques 

  • No free version
  • Lack of technical support
  • Steep learning curve

  5. Umami – Best lightweight tool for web analytics

  The second of our open-source analytics solutions is Umami, a favourite in the software development community. Like Matomo, it’s a powerful and privacy-focused alternative that offers complete data control and respects user privacy. It’s also available as a cloud-based freemium plan or as a self-hosted solution.

   

  

  Umami’s dashboard reveals the busiest times of day and which pages are visited when.(Image source)

   

  Why Umami : Unami has a clear and simple user interface (UI) that lets you measure important metrics such as page visits, referrers, and user agents. It also features event tracking, although some reviewers complain that it’s quite limited.

  Standout features can be summed up in five words : privacy, simplicity, lightweight, real-time, and open-source. Unami’s UI is clean, intuitive and modern, and it doesn’t slow down your website. 

  Integrations include plugins for VuePress, Gatsby, Craft CMS, Docusaurus, WordPress and Publii, and a module for Nuxt. Unami’s API communicates with Javascript, PHP Laravel and Python.

  Pricing is free for up to 100k monthly events and three websites, but with limited support and data retention restrictions. The Pro plan costs $20 a month and gives you unlimited websites and team members, a million events (plus $0.00002 for each event over that), five years of data and email support. Their Enterprise plan is priced custom.

  Strengths

  • Freemium plan
  • Open-source
  • Lightweight 

  Community critiques 

  • Limited support options
  • Data retention restrictions
  • No funnel functionality

  6. Heap – Best for automatic data capture

  Product analytics with a twist is a good description of Heap. It features event auto-capture to track user interactions across all touchpoints in the user journey. This lets you fully understand how and why customers engage with your product and website. 

  Using a single Javascript snippet, Heap automatically collects data on everything users do, including how they got to your website. It also helps identify how different cohorts engage with your product, providing the critical insights teams need to boost conversion rates.

  

  Heap’s journeys feature combines funnel and path analysis. (Image source)

   

  Why Heap : The auto-capture functionality solves a major shortcoming of many product analytics tools — manual tracking. Instead of having to set up manual tags on events, Heap automatically captures all data on user activity from the start. 

  Standout features include event auto-capture, session replay, heatmaps, segments (or cohorts) and journeys, the last of which combines the functions of funnel and path analysis tools into a single feature.

  Integrations include AWS, Google, Microsoft Azure, major CRM platforms, Snowflake and many other data manipulation platforms.

  Pricing is quote-based across all payment tiers. There is also a free plan and a 14-day free trial.

  Strengths

  • Session replay
  • Heatmaps 
  • User segmentation
  • Simple setup 
  • Event auto-capture 

  Community critiques 

  • No A/B testing functionality
  • No GDPR compliance support

  Choosing the best solution for your team

  When selecting a tool, it’s crucial to understand how product analytics and web analytics solutions differ. 

  Product analytics tools track users or accounts and record the features they use, the funnels they move through, and the cohorts they’re part of. Web analytics tools focus more on sessions than users because they’re interested in data that can help improve website usage. 

  Some tools combine product and web analytics to do both of these jobs.

  Area of focus

  Product analytics tools track user behaviour within SaaS- or app-based products. They’re helpful for analysing features, user journeys, engagement metrics, product development and iteration. 

  Web analytics tools analyse web traffic, user demographics, and traffic sources. They’re most often used for marketing and SEO insights.

  Level of detail

  Product analytics tools provide in-depth tracking and analysis of user interactions, feature usage, and cohort analysis.

  Web analytics tools provide broader data on page views, bounce rates, and conversion tracking to analyse overall site performance.

  Whatever tools you try, your first step should be to search for reviews online to see what people who’ve used them think about them. There are some great review sites you can try. See what people are saying on Capterra, G2, Gartner Peer Insights, or TrustRadius. 

  Use Matomo to power your web and app analytics

  Web and product analytics is a competitive field, and there are many other tools worth considering. This list is a small cross-section of what’s available.

  That said, if you have concerns about privacy and costs, consider choosing Matomo. Start your 21-day free trial today.

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• Conversion Funnel Optimisation : 10 Ways to Convert More

  24 janvier 2024, par Erin

  Converting leads into happy customers is the ultimate goal of any sales and marketing team. But there are many steps in between those two events, or in other words, funnel stages. 

  Your sales funnel includes all the steps you take to make your audience aware of your product or services and convince them to purchase. Conversion funnel optimisation strategies can help you move users through the stages of your sales funnel. 

  This article will show you how to optimise your conversion funnel and boost sales — no matter how your funnel looks. We’ll go over practical tips you can implement and how you can analyse and measure results.

  Let’s get started.

  What is conversion funnel optimisation ? 

  Conversion funnel optimisation is the strategic and ongoing process of refining and improving the different stages of a sales or marketing funnel to increase the rate at which users complete desired actions.

  A sales funnel represents the stages a potential customer goes through before purchasing. 

  The typical stages of a sales funnel include :

  • Awareness : At the top of the funnel, potential customers become aware of your product or service. 
  • Consideration : In this stage, prospects evaluate the product or service against alternatives. They may compare features, prices and customer reviews to make an informed decision.
  • Conversion : The prospect completes the transaction and becomes an actual customer by purchasing.
  • Loyalty : You can turn one-time buyers into repeat customers and brand advocates. 

  It’s called a “funnel” because, similar to the shape of a funnel, the number of potential customers decreases as they progress through the various stages of the sales process — as you can see illustrated below.

  

  Sales funnels can vary across industries and business models, but the general concept remains the same. The goal is to guide potential customers through each funnel stage, addressing their needs and concerns at each step, ultimately leading to a successful conversion. 

  You can create and monitor a custom funnel for your site’s user journey with a web analytics solution like Matomo.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

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  The importance of conversion funnel optimisation 

  At the heart of conversion funnel optimisation is the quest for higher conversion rates. 

  Refining the customer journey can increase the chances of turning visitors into customers who return repeatedly.

  Specifically, here’s how conversion funnel optimisation can benefit your business :

  • Increased conversions : Marketers can increase the likelihood of turning website visitors into customers by making the user journey more user-friendly and persuasive.
  • Higher revenue : Improved conversion rates aren’t just numbers on a chart ; they translate to tangible revenue. 
  • Increased ROI (return on investment) : By optimising the conversion funnel, you can get more value from your marketing and sales efforts. 
  • Improved customer satisfaction : When customers find it easy and enjoyable to interact with a website or service, it positively influences their satisfaction and likelihood of returning.
  • Data-driven decision-making : Businesses can make informed decisions on budgets and resources based on user behaviour and performance metrics by analysing and optimising conversion funnels.

  ​​Ultimately, conversion funnel optimisation efforts align the entire funnel with overarching business goals.

  10 ways to optimise your conversion funnel 

  Here are 10 ways to optimise your conversion funnel.

  1. Identify and segment your target audience

  The key to a successful conversion funnel begins with a deep understanding of your target audience. 

  Identifying and segmenting your audience lets you speak directly to their pain points, desires and motivations.

  One effective way to know your audience better is by creating detailed buyer personas. These are fictional representations of your ideal customers based on thorough market research and real data. Dive into demographics and behavioural patterns to craft personas that resonate with your audience.

  

  Note that consumer preferences are not static. They evolve, influenced by trends, technological advancements and shifts in societal values. Staying attuned to these changes is crucial as part of optimising your conversion funnel.

  Thus, you must regularly update your buyer personas and adjust your marketing strategies accordingly.

  2. Create content for every stage of the funnel

  Each funnel stage represents a different mindset and needs for your potential customers. Tailoring your content ensures you deliver the right message at the right time to the right audience. 

  Here’s how to tailor your content to fit prospective customers at every conversion funnel stage.

  Awareness-stage content

  Prospects here are seeking information. Your content should be educational and focused on addressing their pain points. Create blog posts, infographics and videos introducing them to your industry, product or service.

  This video we created at Matomo is a prime example of awareness-stage content, grabbing attention and educating viewers about Matomo.

  Consideration-stage content

  Prospects are evaluating their options. Provide content highlighting your product’s unique selling points, such as case studies, product demonstrations and customer testimonials.

  Here’s how we use a versus landing page at Matomo to persuade prospects at this funnel stage.

  

  Conversion-stage content

  This is the final push. Ensure a smooth transition to conversion with content like promotional offers, limited-time discounts and clear calls to action (CTA).

  Loyalty-stage content

  In this stage, you might express gratitude for the purchase through personalised thank-you emails. Follow up with additional resources, tips or exclusive offers to reinforce a positive post-purchase experience. This also positions your brand as a helpful resource beyond the initial sale.

  Reward customer loyalty with exclusive offers, discounts or membership in a loyalty program.

  3. Capture leads

  Lead magnets are incentives offered to potential customers in exchange for their contact information, typically their email addresses. 

  Examples of lead magnets include :

  • Ebooks and whitepapers : In-depth resources that delve into specific topics of interest to your target audience.
  • Webinars and workshops : Live or recorded sessions that offer valuable insights, training or demonstrations.
  • Free trials and demos : Opportunities for potential customers to experience your product or service firsthand.
  • Checklists and templates : Practical tools that help your audience solve specific challenges.
  • Exclusive offers and discounts : Special promotions are available to those who subscribe or provide their contact information.

  For instance, here’s how HubSpot uses templates as lead magnets.

  

  Similarly, you can incorporate your lead magnets into relevant articles or social media posts, email campaigns and other marketing channels.

  4. Optimise your landing pages

  Understanding how visitors interact with your landing pages is a game-changer. So, the first step in optimising your landing pages is to analyse them.

  Enter Matomo’s heatmaps — the secret weapon in landing page optimisation. They visually represent how users interact with your pages, revealing where they linger, what catches their attention and where they may encounter friction. 

  

  Here are a few landing page elements you should pay attention to :

  • Strategic visual elements : Integrate high-quality images, videos and graphics that support your message and guide visitors through the content.
  • Compelling copy : Develop concise and persuasive copy that emphasises the benefits of your offering, addressing user pain points.
  • Effective CTA : Ensure your CTA is prominently displayed, using compelling language and colours that stand out.
  • Mobile responsiveness : Optimise your landing pages for various devices, especially considering the prevalence of mobile users.
  • Minimal form fields : Reduce friction by keeping form fields to a minimum, requesting only essential information.
  • ​​Leverage social proof : Integrate testimonials, reviews and trust badges to build trust and credibility.
  • A/B testing : Experiment with variations in design, copy and CTAs through A/B testing, allowing data to guide your decisions.

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  5. ​​Use compelling Calls to Action (CTAs)

  Crafting compelling CTAs is an art that involves a careful balance of persuasion, clarity and relevance.

  Here are a few tips you can implement to write CTAs that support your goals :

  • Use language that compels action. Instead of generic phrases like “Click Here,” opt for more persuasive alternatives such as “Unlock Exclusive Access” or “Start Your Free Trial.”
  • Make sure your CTAs are clear and straightforward. Visitors should instantly understand what action you want them to take. 
  • Tailor CTAs to the specific content on the page. Whether it’s a blog post, landing page or email, the CTA should seamlessly connect with the surrounding context.
  • Position your CTAs strategically. They should be prominently displayed and easily noticeable, guiding visitors without intruding.
  • Create a sense of urgency. Encourage immediate action by incorporating language that instils a sense of urgency. Phrases like “Limited Time Offer” or “Act Now” can prompt quicker responses.

  6. Have an active social presence

  Social media platforms are bustling hubs of activity where your target audience spends a significant portion of their online time. Cultivating a social media presence allows you to meet your audience where they are, fostering a direct line of communication.

  Moreover, the integration of shopping features directly into social media platforms transforms them into seamless shopping experiences. Nearly half of Instagram users shop weekly through the platform. 

  Also, the US social commerce sales continue to grow each year and are expected to reach $79.64 billion by 2025.

  

  7. Build a brand community

  Four in five customers consider communities important to how engaged they are with a brand.

  A strong community fosters a sense of belonging and loyalty among members. When customers feel connected to your brand and each other, they are more likely to remain loyal over the long term. 

  Also, satisfied community members often share their positive experiences with others, expanding your brand’s reach without additional marketing efforts.

  For example, Nike’s community for runners is a digital space where individuals share their running journeys, accomplishments and challenges. 

  

  By strategically building and nurturing a community, you not only enhance retention and spur referrals but also create a space where your brand becomes an integral part of your customers’ lives. 

  8. Conduct A/B tests

  A/B testing systematically compares two versions of a webpage, email or other content to determine which performs better.

  Examples of elements to A/B test :

  • CTAs : The language, colour, size and placement of CTAs can significantly impact user engagement. A/B testing allows you to discover which variations prompt the desired actions.
  • Headlines : Crafting compelling headlines is an art. Test different versions to identify which headlines resonate best with your audience, whether they are more drawn to clarity, humour, urgency or curiosity.
  • Images : Test different images to understand your audience’s visual preferences. This could include product images, lifestyle shots or graphics.

  

  With Matomo’s A/B testing feature, you can test various elements to see which is successful in converting visitors or moving them to the next stage of the conversion funnel.

  9. Leverage social proof

  In an era where consumers are inundated with choices, the opinions, reviews and endorsements of others serve as beacons, guiding potential customers through the decision-making process. 

  Simply put — when people see that others have had positive experiences with your brand, it instils trust and confidence.

  

  You can proactively gather social proof and display it prominently across your marketing channels. Here are some examples of social proof you can leverage :

  • Customer reviews : Positive reviews and testimonials from satisfied customers serve as authentic endorsements of your products or services. 
  • Case studies : In-depth case studies that showcase successful collaborations or solutions provided to clients offer a detailed narrative of your brand’s capabilities. These are particularly effective in B2B scenarios or for complex products and services.
  • User-generated content : Encourage customers to share their experiences. This could include photos, videos or posts on social media platforms, providing a dynamic and genuine portrayal of your brand.
  • Influencer endorsements : Collaborating with influencers in your industry or niche can amplify your social proof. When influencers vouch for your products or services, their followers are more likely to take notice.

  10. Measure and analyse performance

  This is a continuous loop of refinement, where you should use analysis and data-driven insights to guide your conversion funnel optimisation efforts.

  Here’s a systematic approach you can take :

  1. Identify the path users take on your site using a feature like Users Flow.
  2. Map the customer journey using a Funnels feature like the one in Matomo. 
  3. Identify the metrics that align with your conversion goals at each stage of the funnel, such as website traffic, conversion rates, click-through rates and customer acquisition costs.
  4. Assess conversion rates at different stages of the funnel. Identify areas with significant drop-offs and investigate factors that might contribute to the decline.
  5. Use heatmaps and session recordings to see first-hand how users interact with your site.
  6. Create an experiment to test and improve a specific area within your funnel using insights from the heatmaps and session recordings.
  7. A/B test, analyse the results to understand which variations performed better. Use this data to refine elements within your funnel.

  See how Concrete CMS 3x their leads with conversion optimisation.

  Conclusion 

  The customer journey is not linear. However, it involves a few specific stages your audience will go through — from first learning about your product or services to considering whether to try it. The goal is to turn them into happy and loyal customers.

  In this article, we went over strategies and practical tips you can use to guide customers through the conversion funnel. From segmenting your audience to capturing leads, optimising landing pages and running A/B tests, there are steps you can take to ensure your audience will move to the next stage.

  And of course, you have to continuously measure and analyse your performance. That’s how you know whether you’re heading in the right direction and, if not, where to correct your course. 

  For that, you need a robust web analytics solution with conversion optimisation features. Try Matomo free for 21 days and start optimising your conversion funnel—no credit card required. 

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• 10 Key Google Analytics Limitations You Should Be Aware Of

  9 mai 2022, par Erin

  Google Analytics (GA) is the biggest player in the web analytics space. But is it as “universal” as its brand name suggests ?
  

  Over the years users have pointed out a number of major Google Analytics limitations. Many of these are even more visible in Google Analytics 4. 

  Introduced in 2020, Google Analytics 4 (GA4) has been sceptically received. As the sunset date of 1st, July 2023 for the current version, Google Universal Analytics (UA), approaches, the dismay grows stronger.

  To the point where people are pleading with others to intervene : 

  

  Main limitations of Google Analytics

  Google Analytics 4 is advertised as a more privacy-centred, comprehensive and “intelligent” web analytics platform. 

  According to Google, the newest version touts : 

  • Machine learning at its core provides better segmentation and fast-track access to granular insights 
  • Privacy-by-design controls, addressing restrictions on cookies and new regulatory demands 
  • More complete understanding of customer journeys across channels and devices 

  Some of these claims hold true. Others crumble upon a deeper investigation. Newly advertised Google Analytics capabilities such as ‘custom events’, ‘predictive insights’ and ‘privacy consent mode’ only have marginal improvements. 

  Complex setup, poor UI and lack of support with migration also leave many other users frustrated with GA4. 

  

  Let’s unpack all the current (and legacy) limitations of Google Analytics you should account for. 

  1. No Historical Data Imports 

  Google rushed users to migrate from Universal Analytics to Google Analytics 4. But they overlooked one important precondition — backwards compatibility. 

  You have no way to import data from Google Universal Analytics to Google Analytics 4. 

  Historical records are essential for analysing growth trends and creating benchmarks for new marketing campaigns. Effectively, you are cut short from past insights — and forced to start strategising from scratch. 

  At present, Google offers two feeble solutions : 

  • Run data collection in parallel and have separate reporting for GA4 and UA until the latter is shut down. Then your UA records are gone. 
  • For Ecommerce data, manually duplicate events from UA at a new GA4 property while trying to figure out the new event names and parameters. 

  Google’s new data collection model is the reason for migration difficulties. 

  In Google Analytics 4, all analytics hits types — page hits, social hits, app/screen view, etc. — are recorded as events. Respectively, the “‘event’ parameter in GA4 is different from one in Google Universal Analytics as the company explains : 

  

  This change makes migration tedious — and Google offers little assistance with proper events and custom dimensions set up. 

  2. Data Collection Limits 

  If you’ve wrapped your head around new GA4 events, congrats ! You did a great job, but the hassle isn’t over. 

  You still need to pay attention to new Google Analytics limits on data collection for event parameters and user properties. 

  

  These apply to :

  • Automatically collected events
  • Enhanced measurement events
  • Recommended events 
  • Custom events 

  When it comes to custom events, GA4 also has a limit of 25 custom parameters per event. Even though it seems a lot, it may not be enough for bigger websites. 

  You can get higher limits by upgrading to Google Analytics 360, but the costs are steep. 

  3. Limited GDPR Compliance 

  Google Analytics has a complex history with European GDPR compliance. 

  A 2020 ruling by the Court of Justice of the European Union (CJEU) invalidated the Privacy Shield framework Google leaned upon. This framework allowed the company to regulate EU-US data transfers of sensitive user data. 

  But after this loophole was closed, Google faced a heavy series of privacy-related fines :

  • French data protection authority, CNIL, ruled that  “the transfers to the US of personal data collected through Google Analytics are illegal” — and proceeded to fine Google for a record-setting €150 million at the beginning of 2022. 
  • Austrian regulators also deemed Google in breach of GDPR requirements and also branded the analytics as illegal. 

  Other EU-member states might soon proceed with similar rulings. These, in turn, can directly affect Google Analytics users, whose businesses could face brand damage and regulatory fines for non-compliance. In fact, companies cannot select where the collected analytics data will be stored — on European servers or abroad — nor can they obtain this information from Google.

  Getting a web analytics platform that allows you to keep data on your own servers or select specific Cloud locations is a great alternative. 

  Google also has been lax with its cookie consent policy and doesn’t properly inform consumers about data collection, storage or subsequent usage. Google Analytics 4 addresses this issue to an extent. 

  By default, GA4 relies on first-party cookies, instead of third-party ones — which is a step forward. But the user privacy controls are hard to configure without losing most of the GA4 functionality. Implementing user consent mode to different types of data collection also requires a heavy setup. 

  4. Strong Reliance on Sampled Data 

  To compensate for ditching third-party cookies, GA4 more heavily leans on sampled data and machine learning to fill the gaps in reporting. 

  In GA4 sampling automatically applies when you :

  • Perform advanced analysis such as cohort analysis, exploration, segment overlap or funnel analysis with not enough data 
  • Have over 10,000,000 data rows and generate any type of non-default report 

  Google also notes that data sampling can occur at lower thresholds when you are trying to get granular insights. If there’s not enough data or because Google thinks it’s too complex to retrieve. 

  In their words :

  

  Data sampling adds “guesswork” to your reports, meaning you can’t be 100% sure of data accuracy. The divergence from actual data depends on the size and quality of sampled data. Again, this isn’t something you can control. 

  Unlike Google Analytics 4, Matomo applies no data sampling. Your reports are always accurate and fully representative of actual user behaviours. 

  5. No Proper Data Anonymization 

  Data anonymization allows you to collect basic analytics about users — visits, clicks, page views — but without personally identifiable information (or PII) such as geo-location, assigns tracking ID or other cookie-based data. 

  This reduced your ability to :

  • Remarket 
  • Identify repeating visitors
  • Do advanced conversion attribution 

  But you still get basic data from users who ignored or declined consent to data collection. 

  By default, Google Analytics 4 anonymizes all user IP addresses — an upgrade from UA. However, it still assigned a unique user ID to each user. These count as personal data under GDPR. 

  For comparison, Matomo provides more advanced privacy controls. You can anonymize :

  • Previously tracked raw data 
  • Visitor IP addresses
  • Geo-location information
  • User IDs 

  This can ensure compliance, especially if you operate in a sensitive industry — and delight privacy-mindful users ! 

  6. No Roll-Up Reporting

  Getting a bird’s-eye view of all your data is helpful when you need hotkey access to main sites — global traffic volume, user count or percentage of returning visitors.

  With Roll-Up Reporting, you can see global-performance metrics for multiple localised properties (.co.nz, .co.uk, .com, etc,) in one screen. Then zoom in on specific localised sites when you need to. 

  

  7. Report Processing Latency 

  The average data processing latency is 24-48 hours with Google Analytics. 

  Accounts with over 200,000 daily sessions get data refreshes only once a day. So you won’t be seeing the latest data on core metrics. This can be a bummer during one-day promo events like Black Friday or Cyber Monday when real-time information can prove to be game-changing ! 

  Matomo processes data with lower latency even for high-traffic websites. Currently, we have 6-24 hour latency for cloud deployments. On-premises web analytics can be refreshed even faster — within an hour or instantly, depending on the traffic volumes. 

  8. No Native Conversion Optimisation Features

  Google Analytics users have to use third-party tools to get deeper insights like how people are interacting with your webpage or call-to-action.

  You can use the free Google Optimize tool, but it comes with limits : 

  • No segmentation is available 
  • Only 10 simultaneous running experiments allowed 

  There isn’t a native integration between Google Optimize and Google Analytics 4. Instead, you have to manually link an Optimize Container to an analytics account. Also, you can’t select experiment dimensions in Google Analytics reports.

  What’s more, Google Optimize is a basic CRO tool, best suited for split testing (A/B testing) of copy, visuals, URLs and page layouts. If you want to get more advanced data, you need to pay for extra tools. 

  Matomo comes with a native set of built-in conversion optimization features : 

  • Heatmaps 
  • User session recording 
  • Sales funnel analysis 
  • A/B testing 
  • Form submission analytics 

  

  9. Deprecated Annotations

  Annotations come in handy when you need to provide extra context to other team members. For example, point out unusual traffic spikes or highlight a leak in the sales funnel. 

  This feature was available in Universal Analytics but is now gone in Google Analytics 4. But you can still quickly capture, comment and share knowledge with your team in Matomo. 

  You can add annotations to any graph that shows statistics over time including visitor reports, funnel analysis charts or running A/B tests. 

  10. No White Label Option 

  This might be a minor limitation of Google Analytics, but a tangible one for agency owners. 

  Offering an on-brand, embedded web analytics platform can elevate your customer experience. But white label analytics were never a thing with Google Analytics, unlike Matomo. 

  Wrap Up 

  Google set a high bar for web analytics. But Google Analytics inherent limitations around privacy, reporting and deployment options prompt more users to consider Google Analytics alternatives, like Matomo. 

  With Matomo, you can easily migrate your historical data records and store customer data locally or in a designated cloud location. We operate by a 100% unsampled data principle and provide an array of privacy controls for advanced compliance. 

  Start your 21-day free trial (no credit card required) to see how Matomo compares to Google Analytics ! 

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